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MyPerfectResume Report: 79% of Employees Feel Detached from Their Work

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1 year ago

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Survey reveals widespread workplace disconnection, driven by insufficient compensation, unclear expectations and poor work-life balance

GUAYNABO, Puerto Rico , Feb. 12, 2025 /PRNewswire-PRWeb/ — MyPerfectResume®, a leading resource for resume and career advice, has released findings from The Great Detachment report, uncovering a crisis in workplace engagement. The survey of 1,153 U.S. workers found that 79% of employees feel detached from their work, with insufficient compensation, unclear expectations, lack of recognition, and poor work-life balance emerging as top concerns.

This new report highlights a workforce grappling with disengagement, workplace stress, and a sense of loneliness and isolation, signaling a growing challenge for employers looking to retain and motivate their teams.

Key Findings:

79% of employees feel detached from their work.One-third say insufficient compensation is the primary reason for feeling detached.44% of employees feel lonely or isolated at work “always” or “often,” and 56% of those feeling isolated say it decreases their productivity.Workplace stress is at an all-time high, with 49% citing high workloads, followed by lack of career growth (36%) and poor management (31%).76% of employees say their manager’s engagement affects their own, yet only 22% say their managers align with them on expectations weekly.

Widespread Disconnection in the Workplace
Workplace disengagement is prominent, with many employees feeling lonely or isolated, unsupported and unclear about their roles.

66% of employees are “somewhat detached,” and 13% say they are “very detached.”44% of employees feel lonely at work “always” or “often,” while 49% of remote workers report feeling disconnected from their team.76% of employees say their manager’s engagement affects their own, yet only 22% of employees say their managers align with them on expectations weekly.

Key Drivers Behind Employee Disconnection
Employees feel disconnected for various reasons, with compensation, alignment, and clarity playing major roles.

33% cite insufficient compensation as the primary reason for feeling detached.23% point to misalignment with their employer’s mission or purpose.Other key issues include unclear expectations (14%), feeling undervalued (12%), and having remote work options rescinded (11%).

The Growing Stress Crisis in the Workplace
Heavy workloads and limited career growth are major sources of stress for employees.

Workplace stress is at an all-time high, with 49% of employees citing high workloads as their top stressor.Other stress contributors include lack of career growth (36%), unclear expectations (34%), and poor management (31%).

The Cost of Workplace Isolation
Social connection is essential for employee well-being, yet many feel disconnected.

65% of employees say social connection is “extremely” or “very important” to their well-being.However, 44% report feeling lonely or isolated at work.56% of those feeling lonely say it decreases their productivity.

What Employees Need to Reconnect and Thrive
Employees are clear about what they need to feel more engaged at work:

47% want better work-life balance or flexibility.45% ask for increased pay or benefits.44% call for clearer communication and direction from leadership.Recognition (34%) and growth opportunities (28%) are also priorities.

“Workplace detachment poses a major risk to businesses aiming to retain top talent and maintain productivity,” Jasmine Escalera, career expert at MyPerfectResume. “Employees want to feel valued, heard, and supported in their roles. Leaders who prioritize engagement through clear expectations, fair compensation, and a strong company mission will see stronger retention and productivity,” said Escalera.

To view the full report and more information, please visit https://www.myperfectresume.com/career-center/careers/basics/the-great-detachment or contact Nathan Barber, public relations specialist, at nathan.barber@bold.com

Survey Methodology
The findings were obtained by surveying 1,153 U.S. respondents on January 16, 2025. They were asked questions about workplace engagement, job satisfaction, and company culture. The survey included a mix of multiple-choice, scale-based, and open-ended questions.

About MyPerfectResume
MyPerfectResume is the leading resource for resume advice and expert customer care to help professionals elevate their careers with the perfect resume. Created to take the hassle out of resume-writing, the user-friendly program offers professionally crafted templates, expert tips, step-by-step guidance, and valuable career advice to effortlessly create an outstanding resume, CV, and cover letter. Since 2013, MyPerfectResume has helped more than 15 million job seekers create their perfect resumes and has been featured in Forbes, Yahoo! Finance, and more. Stay connected with MyPerfectResume’s latest updates on Facebook, LinkedIn and X.

Media Contact

Nathan Barber, MyPerfectResume, (206) 900-2989, nathan.barber@bold.com, https://www.myperfectresume.com/

View original content:https://www.prweb.com/releases/myperfectresume-report-79-of-employees-feel-detached-from-their-work-302373973.html

SOURCE MyPerfectResume

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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55 minutes ago

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July 24, 2026

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

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Video: CNPC offers green chemical answer

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55 minutes ago

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July 24, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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55 minutes ago

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July 24, 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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